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Showing papers by "London School of Economics and Political Science published in 2019"


Journal ArticleDOI
TL;DR: It is argued that systematic reviews are a key methodology for clarifying whether and how research findings replicate and for explaining possible inconsistencies, and it is called for researchers to conduct systematic reviews to help elucidate whether there is a replication crisis.
Abstract: Systematic reviews are characterized by a methodical and replicable methodology and presentation. They involve a comprehensive search to locate all relevant published and unpublished work on a subject; a systematic integration of search results; and a critique of the extent, nature, and quality of evidence in relation to a particular research question. The best reviews synthesize studies to draw broad theoretical conclusions about what a literature means, linking theory to evidence and evidence to theory. This guide describes how to plan, conduct, organize, and present a systematic review of quantitative (meta-analysis) or qualitative (narrative review, meta-synthesis) information. We outline core standards and principles and describe commonly encountered problems. Although this guide targets psychological scientists, its high level of abstraction makes it potentially relevant to any subject area or discipline. We argue that systematic reviews are a key methodology for clarifying whether and how research findings replicate and for explaining possible inconsistencies, and we call for researchers to conduct systematic reviews to help elucidate whether there is a replication crisis.

822 citations


Journal ArticleDOI
Heather Orpana1, Heather Orpana2, Laurie B. Marczak3, Megha Arora3  +338 moreInstitutions (173)
06 Feb 2019-BMJ
TL;DR: Age standardised mortality rates for suicide have greatly reduced since 1990, but suicide remains an important contributor to mortality worldwide and can be targeted towards vulnerable populations if they are informed by variations in mortality rates.
Abstract: Objectives To use the estimates from the Global Burden of Disease Study 2016 to describe patterns of suicide mortality globally, regionally, and for 195 countries and territories by age, sex, and Socio-demographic index, and to describe temporal trends between 1990 and 2016. Design Systematic analysis. Main outcome measures Crude and age standardised rates from suicide mortality and years of life lost were compared across regions and countries, and by age, sex, and Socio-demographic index (a composite measure of fertility, income, and education). Results The total number of deaths from suicide increased by 6.7% (95% uncertainty interval 0.4% to 15.6%) globally over the 27 year study period to 817 000 (762 000 to 884 000) deaths in 2016. However, the age standardised mortality rate for suicide decreased by 32.7% (27.2% to 36.6%) worldwide between 1990 and 2016, similar to the decline in the global age standardised mortality rate of 30.6%. Suicide was the leading cause of age standardised years of life lost in the Global Burden of Disease region of high income Asia Pacific and was among the top 10 leading causes in eastern Europe, central Europe, western Europe, central Asia, Australasia, southern Latin America, and high income North America. Rates for men were higher than for women across regions, countries, and age groups, except for the 15 to 19 age group. There was variation in the female to male ratio, with higher ratios at lower levels of Socio-demographic index. Women experienced greater decreases in mortality rates (49.0%, 95% uncertainty interval 42.6% to 54.6%) than men (23.8%, 15.6% to 32.7%). Conclusions Age standardised mortality rates for suicide have greatly reduced since 1990, but suicide remains an important contributor to mortality worldwide. Suicide mortality was variable across locations, between sexes, and between age groups. Suicide prevention strategies can be targeted towards vulnerable populations if they are informed by variations in mortality rates.

472 citations


Journal ArticleDOI
TL;DR: The capture and processing of social data unfolds through a process w.h.p. as mentioned in this paper. But unlike oil, data are not a substance found in nature It must be appropriated.
Abstract: We are often told that data are the new oil But unlike oil, data are not a substance found in nature It must be appropriated The capture and processing of social data unfolds through a process w

445 citations


Book
11 Mar 2019
TL;DR: In this article, the forms and functions of knowledge in everyday life are discussed. And the diversity of knowledge is discussed. But the focus is on the relationships between the forms of knowledge and the relationships among them.
Abstract: Preface. Introduction. Knowledge, Affect and Interaction. Wiser Rationalities: The Diversity of Knowledge. Community, Public Spheres and Knowledge. The Forms and Functions of Knowledge. Encountering the Knowledge of Others. Studying Knowledge in Everyday Life. Notes. Bibliography.

430 citations


Journal ArticleDOI
TL;DR: In this paper, the authors proposed a place-sensitive distributed development policy (PSDP) to promote opportunity in industrial declining and less-developed regions in Europe, which is called PLDP.
Abstract: Regional economic divergence has become a threat to economic progress, social cohesion and political stability in Europe. Market processes and policies that are supposed to spread prosperity and opportunity are no longer sufficiently effective. The evidence points to the existence of several different modes of regional economic performance in Europe, responding to different development challenges and opportunities. Both mainstream and heterodox theories have gaps in their ability to explain the existence of these different regional trajectories and the weakness of the convergence processes among them. Therefore, a different approach is required, one that strengthens Europe’s strongest regions but develops new approaches to promote opportunity in industrial declining and less-developed regions. There is ample new theory and evidence to support such an approach, which we have labelled ‘place-sensitive distributed development policy’.

378 citations


Journal ArticleDOI
TL;DR: This article provided a comprehensive history of anchor or reference currencies, exchange rate arrangements, and a new measure of foreign exchange restrictions for 194 countries and territories over 1946-2016, finding that the often cited post-Bretton Woods transition from fixed to flexible arrangements is overstated; regimes with limited flexibility remain in the majority.
Abstract: This article provides a comprehensive history of anchor or reference currencies, exchange rate arrangements, and a new measure of foreign exchange restrictions for 194 countries and territories over 1946-2016. We find that the often cited post-Bretton Woods transition from fixed to flexible arrangements is overstated; regimes with limited flexibility remain in the majority. Even if central bankers' communications jargon has evolved considerably in recent decades, it is apparent that many still place a large implicit weight on the exchange rate. The U.S. dollar scores as the world's dominant anchor currency by a very large margin. By some metrics, its use is far wider today than 70 years ago. In contrast, the global role of the euro appears to have stalled. We argue that in addition to the usual safe assets story, the record accumulation of reserves since 2002 may also have to do with many countries' desire to stabilize exchange rates in an environment of markedly reduced exchange rate restrictions or, more broadly, capital controls: an important amendment to the conventional portrayal of the macroeconomic trilemma.

361 citations


Journal ArticleDOI
TL;DR: In this paper, the authors used randomization statistical inference to test the null hypothesis of no treatment effects in a comprehensive sample of 53 experimental papers drawn from the journals of the American Economic Association.
Abstract: I follow R. A. Fisher's The Design of Experiments (1935), using randomization statistical inference to test the null hypothesis of no treatment effects in a comprehensive sample of 53 experimental papers drawn from the journals of the American Economic Association. In the average paper, randomization tests of the significance of individual treatment effects find 13\% to 22\% fewer significant results than are found using authors’ methods. In joint tests of multiple treatment effects appearing together in tables, randomization tests yield 33\% to 49\% fewer statistically significant results than conventional tests. Bootstrap and jackknife methods support and confirm the randomization results.

323 citations


Journal ArticleDOI
TL;DR: Muthukrishna & Henrich argue that solving the replication crisis in psychology partly requires well-specified, overarching theoretical frameworks and outline how dual inheritance theory provides one such example that could be adopted by the field.
Abstract: The replication crisis facing the psychological sciences is widely regarded as rooted in methodological or statistical shortcomings. We argue that a large part of the problem is the lack of a cumulative theoretical framework or frameworks. Without an overarching theoretical framework that generates hypotheses across diverse domains, empirical programs spawn and grow from personal intuitions and culturally biased folk theories. By providing ways to develop clear predictions, including through the use of formal modelling, theoretical frameworks set expectations that determine whether a new finding is confirmatory, nicely integrating with existing lines of research, or surprising, and therefore requiring further replication and scrutiny. Such frameworks also prioritize certain research foci, motivate the use diverse empirical approaches and, often, provide a natural means to integrate across the sciences. Thus, overarching theoretical frameworks pave the way toward a more general theory of human behaviour. We illustrate one such a theoretical framework: dual inheritance theory.

314 citations


Journal ArticleDOI
TL;DR: Use of dCBT is effective in improving functional health, psychological well-being, and sleep-related quality of life in people reporting insomnia symptoms, strengthening existing recommendations of CBT as the treatment of choice for insomnia.
Abstract: Importance: Digital cognitive behavioral therapy (dCBT) is a scalable and effective intervention for treating insomnia. Most people with insomnia, however, seek help because of the daytime consequences of poor sleep, which adversely affects quality of life. Objectives: To investigate the effect of dCBT for insomnia on functional health, psychological well-being, and sleep-related quality of life and to determine whether a reduction in insomnia symptoms was a mediating factor. Design, Setting, and Participants: This online, 2-arm, parallel-group randomized trial comparing dCBT for insomnia with sleep hygiene education (SHE) evaluated 1711 participants with self-reported symptoms of insomnia. Participants were recruited between December 1, 2015, and December 1, 2016, and dCBT was delivered using web and/or mobile channels plus treatment as usual; SHE comprised a website and a downloadable booklet plus treatment as usual. Online assessments took place at 0 (baseline), 4 (midtreatment), 8 (posttreatment), and 24 (follow-up) weeks. Programs were completed within 12 weeks after inclusion. Main Outcomes and Measures: Primary outcomes were scores on self-reported measures of functional health (Patient-Reported Outcomes Measurement Information System: Global Health Scale; range, 10-50; higher scores indicate better health); psychological well-being (Warwick-Edinburgh Mental Well-being Scale; range, 14-70; higher scores indicate greater well-being); and sleep-related quality of life (Glasgow Sleep Impact Index; range, 1-100; higher scores indicate greater impairment). Secondary outcomes comprised mood, fatigue, sleepiness, cognitive failures, work productivity, and relationship satisfaction. Insomnia was assessed with the Sleep Condition Indicator (range: 0-32; higher scores indicate better sleep). Results: Of the 1711 participants included in the intention-to-treat analysis, 1329 (77.7%) were female, mean (SD) age was 48.0 (13.8) years, and 1558 (91.1%) were white. Use of dCBT was associated with a small improvement in functional health compared with SHE (adjusted difference [95% CI] at week 4, 0.90 [0.40-1.40]; week 8, 1.76 [1.24-2.28]; week 24, 1.76 [1.22-2.30]) and psychological well-being (adjusted difference [95% CI] at week 4, 1.04 [0.28-1.80]; week 8, 2.68 [1.89-3.47]; week 24, 2.95 [2.13-3.76]), and with a large improvement in sleep-related quality of life (at week 4, −8.76 [−11.83 to −5.69]; week 8, –17.60 [−20.81 to −14.39]; week 24, −18.72 [−22.04 to −15.41]) (all P < .01). A large improvement in insomnia mediated these outcomes (range mediated, 45.5%-84.0%). Conclusions and Relevance: Use of dCBT is effective in improving functional health, psychological well-being, and sleep-related quality of life in people reporting insomnia symptoms. A reduction in insomnia symptoms mediates these improvements. These results confirm that dCBT improves both daytime and nighttime aspects of insomnia, strengthening existing recommendations of CBT as the treatment of choice for insomnia. Trial Registration isrctn.org identifier: ISRCTN60530898

236 citations


Journal ArticleDOI
TL;DR: In this paper, the authors provide evidence on child penalties in female and male earnings in different countries based on event studies around the birth of the first child, using the specification proposed by Kleven et al.
Abstract: This paper provides evidence on child penalties in female and male earnings in different countries. The estimates are based on event studies around the birth of the first child, using the specification proposed by Kleven et al. (2018). The analysis reveals some striking similarities in the qualitative effects of children across countries, but also sharp differences in the magnitude of the effects. We discuss the potential role of family policies (parental leave and child care provision) and gender norms in explaining the observed differences.

206 citations


Journal ArticleDOI
TL;DR: This paper found that the fraction of gender inequality caused by child penalties has featured a dramatic increase over the last three to four decades and that child penalties are transmitted through generations, from parents to daughters, suggesting an influence of childhood environment on gender identity.
Abstract: Using Danish administrative data, we study the impacts of children on gender inequality in the labor market. The arrival of children creates a long-run gender gap in earnings of around 20 percent driven by hours worked, participation, and wage rates. We identify mechanisms driving these "child penalties" in terms of occupation, sector, and firm choices. We find that the fraction of gender inequality caused by child penalties has featured a dramatic increase over the last three to four decades. Finally, we show that child penalties are transmitted through generations, from parents to daughters, suggesting an influence of childhood environment on gender identity.

Posted Content
TL;DR: This article showed that using conditional AMCEs to describe the degree of subgroup agreement can be misleading as regression interactions are sensitive to the reference category used in the analysis, and they demonstrate the problem using examples drawn from published articles and provide suggestions for improved reporting and interpretation using marginal means and an omnibus F-test.
Abstract: Conjoint analysis is a common tool for studying political preferences. The method disentangles patterns in respondents’ favorability toward complex, multidimensional objects, such as candidates or policies. Most conjoints rely upon a fully randomized design to generate average marginal component effects (AMCEs). These measure the degree to which a given value of a conjoint profile feature increases, or decreases, respondents’ support for the overall profile relative to a baseline, averaging across all respondents and other features. While the AMCE has a clear causal interpretation (about the effect of features), most published conjoint analyses also use AMCEs to describe levels of favorability. This often means comparing AMCEs among respondent subgroups. We show that using conditional AMCEs to describe the degree of subgroup agreement can be misleading as regression interactions are sensitive to the reference category used in the analysis. This leads to inferences about subgroup differences in preferences that have arbitrary sign, size, and significance. We demonstrate the problem using examples drawn from published articles and provide suggestions for improved reporting and interpretation using marginal means and an omnibus F-test. Given the accelerating use of these designs in political science, we offer advice for best practice in analysis and presentation of results.

Journal ArticleDOI
TL;DR: The findings confirm modest but consistent reductions in SBP in many studied exercise interventions across all populations but individuals receiving medications generally achieved greater reductions than those following structured exercise regimens.
Abstract: Objective To compare the effect of exercise regimens and medications on systolic blood pressure (SBP). Data sources Medline (via PubMed) and the Cochrane Library. Eligibility criteria Randomised controlled trials (RCTs) of angiotensin-converting enzyme inhibitors (ACE-I), angiotensin-2 receptor blockers (ARBs), β-blockers, calcium channel blockers (CCBs) and diuretics were identified from existing Cochrane reviews. A previously published meta-analysis of exercise interventions was updated to identify recent RCTs that tested the SBP-lowering effects of endurance, dynamic resistance, isometric resistance, and combined endurance and resistance exercise interventions (up to September 2018). Design Random-effects network meta-analysis. Outcome Difference in mean change from baseline SBP between comparator treatments (change from baseline in one group minus that in the other group) and its 95% credible interval (95% CrI), measured in mmHg. Results We included a total of 391 RCTs, 197 of which evaluated exercise interventions (10 461 participants) and 194 evaluated antihypertensive medications (29 281 participants). No RCTs compared directly exercise against medications. While all medication trials included hypertensive populations, only 56 exercise trials included hypertensive participants (≥140 mmHg), corresponding to 3508 individuals. In a 10% random sample, risk of bias was higher in exercise RCTs, primarily due to lack of blinding and incomplete outcome data. In analyses that combined all populations, antihypertensive medications achieved higher reductions in baseline SBP compared with exercise interventions (mean difference −3.96 mmHg, 95% CrI −5.02 to −2.91). Compared with control, all types of exercise (including combination of endurance and resistance) and all classes of antihypertensive medications were effective in lowering baseline SBP. Among hypertensive populations, there were no detectable differences in the SBP-lowering effects of ACE-I, ARB, β-blocker and diuretic medications when compared with endurance or dynamic resistance exercise. There was no detectable inconsistency between direct and indirect comparisons. Although there was evidence of small-study effects, this affected both medication and exercise trials. Conclusions The effect of exercise interventions on SBP remains under-studied, especially among hypertensive populations. Our findings confirm modest but consistent reductions in SBP in many studied exercise interventions across all populations but individuals receiving medications generally achieved greater reductions than those following structured exercise regimens. Assuming equally reliable estimates, the SBP-lowering effect of exercise among hypertensive populations appears similar to that of commonly used antihypertensive medications. Generalisability of these findings to real-world clinical settings should be further evaluated.

Journal ArticleDOI
TL;DR: This article showed that exposure to the refugee crisis fuel support for extreme-right parties in Greece, where some Aegean islands close to the Turkish border experienced sudden and drastic increases in the number of Syrian refugees while other islands slightly farther away - but with otherwise similar institutional and socioeconomic characteristics - did not.
Abstract: Does exposure to the refugee crisis fuel support for extreme-right parties? Despite heated debates about the political repercussions of the refugee crisis in Europe, there exists very little - and sometimes conflicting - evidence with which to assess the impact of a large influx of refugees on natives' political attitudes and behavior. We provide causal evidence from a natural experiment in Greece, where some Aegean islands close to the Turkish border experienced sudden and drastic increases in the number of Syrian refugees while other islands slightly farther away - but with otherwise similar institutional and socioeconomic characteristics - did not. Placebo tests suggest that precrisis trends in vote shares for exposed and nonexposed islands were virtually identical. This allows us to obtain unbiased estimates of the electoral consequences of the refugee crisis. Our study shows that among islands that faced a massive but transient inflow of refugees passing through just before the September 2015 election, vote shares for Golden Dawn, the most extreme-right party in Europe, moderately increased by 2 percentage points (a 44 percent increase at the average). The finding that mere exposure to the refugee crisis is sufficient to fuel support for extreme-right parties has important implications for our theoretical understanding of the drivers of antirefugee backlash.

Journal ArticleDOI
TL;DR: This paper found that profits are either earned entirely overnight (for reversal and a variety of momentum strategies) or entirely intraday, typically with profits of opposite signs across these components, and argued that this tug of war should reduce the effectiveness of clienteles pursuing the strategy.

Journal ArticleDOI
TL;DR: In this article, the authors revisited the relationship between firm performance and CEO turnover and introduced the concept of performance-induced turnover, defined as turnover that would not have occurred had performance been "good".
Abstract: This paper revisits the relationship between firm performance and CEO turnover. We drop the distinction between forced and voluntary turnovers and introduce the concept of performance-induced turnover, defined as turnover that would not have occurred had performance been "good". We document a close link between performance and CEO turnover and estimate that between 38% and 55% of all turnovers are performance induced, with an even higher percentage early in tenure. This is significantly more than the number of forced turnovers identified in prior studies. We contrast the empirical properties of performance-induced turnovers with the predictions of Bayesian learning models of CEO turnover. Learning by boards about CEO ability appears to be slow, and boards act as if CEO ability (or match quality) was subject to frequent and sizeable shocks.

Journal ArticleDOI
TL;DR: In this paper, the impact of new road infrastructure on employment and labour productivity using firm level longitudinal data for Britain is estimated using changes in accessibility, calculated at a detailed geographical scale from changes in minimum journey times along the road network.

Journal ArticleDOI
TL;DR: In this article, the authors exploit changes in the area-specific eligibility criteria for a major program to support jobs through investment subsidies, and find that areas eligible for business support create significantly more jobs and reduce unemployment.
Abstract: Business support policies designed to raise employment and productivity are ubiquitous around the world. We exploit changes in the area-specific eligibility criteria for a major program to support jobs through investment subsidies. Pan-European state aid rules determine whether a sub-national geographical area is eligible for subsidies, and we construct instrumental variables for area (and plant) eligibility based on the estimated parameters of these rule changes. We find areas eligible for business support create significantly more jobs (and reduce unemployment), and this is not due to job displacement between eligible and ineligible areas. An exogenous ten-percentage point increase in an area’s maximum investment subsidy stimulates about a 7% increase in manufacturing employment. The treatment effect exists solely for small firms – large companies appear to “game” the system, accepting subsidies without increasing activity. There are positive effects on net entry of new plants, firm investment but no effects on Total Factor Productivity.

Journal ArticleDOI
01 Jul 2019
TL;DR: In this paper, the authors quantify the space-, time- and crop-specific dependence of agriculture in the Indo-Gangetic Plains on mountain water resources, using a coupled state-of-the-art, high-resolution, cryosphere-hydrology-crop model.
Abstract: Densely populated floodplains downstream of Asia’s mountain ranges depend heavily on mountain water resources, in particular for irrigation. An intensive and complex multi-cropping irrigated agricultural system has developed here to optimize the use of these mountain water resources in conjunction with monsoonal rainfall. Snow and glacier melt thereby modulate the seasonal pattern of river flows and, together with groundwater, provide water when rainfall is scarce. Climate change is expected to weaken this modulating effect, with potentially strong effects on food production in one of the world’s breadbaskets. Here we quantify the space-, time- and crop-specific dependence of agriculture in the Indo-Gangetic Plains on mountain water resources, using a coupled state-of-the-art, high-resolution, cryosphere–hydrology–crop model. We show that dependence varies strongly in space and time and is highest in the Indus basin, where in the pre-monsoon season up to 60% of the total irrigation withdrawals originate from mountain snow and glacier melt, and that it contributes an additional 11% to total crop production. Although dependence in the floodplains of the Ganges is comparatively lower, meltwater is still essential during the dry season, in particular for crops such as sugar cane. The dependency on meltwater in the Brahmaputra is negligible. In total, 129 million farmers in the Indus and Ganges substantially depend on snow and glacier melt for their livelihoods. Snow and glacier melt provides enough water to grow food crops to sustain a balanced diet for 38 million people. These findings provide important information for agricultural and climate change adaptation policies in a climate change hot spot where shifts in water availability and demand are projected as a result of climate change and socio-economic growth. Climate change will affect Himalayan water resources. This study quantifies the importance of snow and glacier melt for agriculture on the Indo-Gangetic plain, finding that 129 million farmers depend on it, especially for rice and cotton, and that meltwater supports crops feeding 38 million people.

ReportDOI
TL;DR: In this paper, the authors characterize the factors that determine who becomes an inventor in America by using de-identified data on 1.2 million inventors from patent records linked to tax records.
Abstract: We characterize the factors that determine who becomes an inventor in America by using de-identified data on 1.2 million inventors from patent records linked to tax records. We establish three sets of results. First, children from high-income (top 1%) families are ten times as likely to become inventors as those from below-median income families. There are similarly large gaps by race and gender. Differences in innate ability, as measured by test scores in early childhood, explain relatively little of these gaps. Second, exposure to innovation during childhood has significant causal effects on children's propensities to become inventors. Growing up in a neighborhood or family with a high innovation rate in a specific technology class leads to a higher probability of patenting in exactly the same technology class. These exposure effects are gender-specific: girls are more likely to become inventors in a particular technology class if they grow up in an area with more female inventors in that technology class. Third, the financial returns to inventions are extremely skewed and highly correlated with their scientific impact, as measured by citations. Consistent with the importance of exposure effects and contrary to standard models of career selection, women and disadvantaged youth are as under-represented among highimpact inventors as they are among inventors as a whole. We develop a simple model of inventors' careers that matches these empirical results. The model implies that increasing exposure to innovation in childhood may have larger impacts on innovation than increasing the financial incentives to innovate, for instance by cutting tax rates. In particular, there are many “lost Einsteins” - individuals who would have had highly impactful inventions had they been exposed to innovation

Journal ArticleDOI
TL;DR: In this paper, the effect of increased air pollution on the number of road traffic accidents in the United Kingdom between 2009 and 2014 was estimated. But the results were robust to a number of specifications and across various sub-samples.

Journal ArticleDOI
TL;DR: In this paper, the authors examined the allocational efficiency of such a model and found that the allocation of resources to such models can result in high degree of productivity differences within industries and their role in resource allocation.
Abstract: Empirical work has drawn attention to the high degree of productivity differences within industries and their role in resource allocation. This paper examines the allocational efficiency of such ma...

Journal ArticleDOI
TL;DR: In the past thirty years, the pace, purpose, and scope of quantitative calculation and quantification have been rapidly increasing as mentioned in this paper, which is closely linked to science, markets, and administration.
Abstract: Calculation and quantification have been critical features of modern societies, closely linked to science, markets, and administration. In the past thirty years, the pace, purpose, and scope of qua...

Journal ArticleDOI
TL;DR: In this article, the authors empirically analyzed the effect of carbon tax and a value-added tax on transport fuel in Sweden and found that carbon dioxide emissions from transport declined almost 11 percent, with the largest share due to the carbon tax alone.
Abstract: This quasi-experimental study is the first to find a significant causal effect of carbon taxes on emissions, empirically analyzing the implementation of a carbon tax and a value-added tax on transport fuel in Sweden. After implementation, carbon dioxide emissions from transport declined almost 11 percent, with the largest share due to the carbon tax alone, relative to a synthetic control unit constructed from a comparable group of OECD countries. Furthermore, the carbon tax elasticity of demand for gasoline is three times larger than the price elasticity. Policy evaluations of carbon taxes, using price elasticities to simulate emission reductions, may thus significantly underestimate their true effect.

Journal ArticleDOI
TL;DR: It is argued that WeChat is an example of a non-Western digital media service that owes its success first to its platformization and then to the infrastructuralization of its platform model, and whether this emerging techno-nationalist model could be a plausible platform regulation in the future.
Abstract: In the current research on media and communication, Western internet companies (e.g. Google and Facebook) are typically described as digital platforms, yet these actors increasingly rely on infrast...

Journal ArticleDOI
TL;DR: The aim of this review is to identify the bottle neck inefficiencies in NCDs attributable spending and propose sustainable health financing solutions and strategic and political leadership of WHO and multilateral agencies would likely play essential roles in the struggle that has just begun.
Abstract: The pandemic of chronic non-communicable diseases (NCDs) poses substantial challenges to the health financing sustainability in high-income and low/middle income countries (LMICs). The aim of this review is to identify the bottle neck inefficiencies in NCDs attributable spending and propose sustainable health financing solutions. The World Health Organization (WHO) introduced the "best buy" concept to scale up the core intervention package against NCDs targeted for LMICs. Population- and individual-based NCD best buy interventions are projected at US$170 billion over 2011-2025. Appropriately designed health financing arrangements can be powerful enablers to scale up the NCD best buys. Rapidly developing emerging nations dominate the landscape of LMICs. Their capability and willingness to invest resources for eradicating NCDs could strengthen WHO outreach efforts in Asia, Africa, and Latin America, much beyond current capacities. There has been a declining trend in international donor aid intended to cope with NCDs over the past decade. There is also a serious misalignment of these resources with the actual needs of recipient countries. Globally, the momentum towards the financing of intersectoral actions is growing, and this presents a cost-effective solution. A budget discrepancy of 10:1 in WHO and multilateral agencies remains in donor aid in favour of communicable diseases compared to NCDs. LMICs are likely to remain a bottleneck of NCDs imposed financing sustainability challenge in the long-run. Catastrophic household health expenditure from out of pocket spending on NCDs could plunge almost 150 million people into poverty worldwide. This epidemiological burden coupled with population ageing presents an exceptionally serious sustainability challenge, even among the richest countries which are members of the Organization for Economic Co-operation and Development (OECD). Strategic and political leadership of WHO and multilateral agencies would likely play essential roles in the struggle that has just begun.

Journal ArticleDOI
TL;DR: Policy makers across the world are increasingly taking note of lessons from behavioral economics and how key principles could help public health practitioners design effective interventions both in relation to incentive designs and more widely is explored.
Abstract: Incentives are central to economics and are used across the public and private sectors to influence behavior. Recent interest has been shown in using financial incentives to promote desirable health behaviors and discourage unhealthy ones. If we are going to use incentive schemes to influence health behaviors, then it is important that we give them the best chance of working. Behavioral economics integrates insights from psychology with the laws of economics and provides a number of robust psychological phenomena that help to better explain human behavior. Individuals’ decisions in relation to incentives may be shaped by more subtle features – such as loss aversion, overweighting of small probabilities, hyperbolic discounting, increasing payoffs, reference points – many of which have been identified through research in behavioral economics. If incentives are shown to be a useful strategy to influence health behavior, a wider discussion will need to be had about the ethical dimensions of incentives before their wider implementation in different health programmes. Policy makers across the world are increasingly taking note of lessons from behavioral economics and this paper explores how key principles could help public health practitioners design effective interventions both in relation to incentive designs and more widely.

Journal ArticleDOI
TL;DR: This paper aims to review the existing governance practices of established or popular blockchain and decentralized autonomous organization (DAO) systems with a view to understanding how they hold up in times of crises, using insights from the IT platform governance literature.

Journal ArticleDOI
TL;DR: The authors test identifying assumptions in regression-based research designs (which include instrumental variables or difference-in-differences models) by adding additional control vari... and find that most of the assumptions are incorrect.
Abstract: Researchers frequently test identifying assumptions in regression-based research designs (which include instrumental variables or difference-in-differences models) by adding additional control vari...

Journal ArticleDOI
TL;DR: A review of psychological contract research can be found in this article, where the authors provide a retrospective look by reviewing antecedents and outcomes associated with psychological contract breach and discuss the dominant theoretical explanations for the breach-outcome relationship.
Abstract: We provide a review of psychological contract research, beginning with past conceptualizations and empirical evidence. We tailor this retrospective look by reviewing the antecedents and outcomes associated with psychological contract breach and discussing the dominant theoretical explanations for the breach-outcome relationship. This synthesis of past evidence provides the foundation for reviewing the present emerging and developing themes in psychological contract research. This discussion is organized around the expansion of resources exchanged and the antecedents of contract breach and outcomes, moving beyond reciprocity as an underpinning explanation. We highlight the practical implications of research to date on psychological contracts and end with directions for future research to include the need for greater attention given to ideological currency, employee health, polycontextual approaches, the role of psychological needs, and post-breach/violation.